Apply suggestions from code review

Co-authored-by: Shati Patel <42641846+shati-patel@users.noreply.github.com>
This commit is contained in:
yoff
2021-03-11 15:57:44 +01:00
committed by GitHub
parent ad35c01462
commit 4d1b49a7dd
3 changed files with 6 additions and 7 deletions

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@@ -1,4 +1,3 @@
{
"omnisharp.autoStart": false,
"restructuredtext.confPath": "${workspaceFolder}/docs/codeql"
"omnisharp.autoStart": false
}

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@@ -174,7 +174,7 @@ The global data flow library is used by extending the class ``DataFlow::Configur
.. code-block:: ql
import csharp
import python
class MyDataFlowConfiguration extends DataFlow::Configuration {
MyDataFlowConfiguration() { this = "..." }
@@ -212,7 +212,7 @@ Global taint tracking is to global data flow what local taint tracking is to loc
.. code-block:: ql
import csharp
import python
class MyTaintTrackingConfiguration extends TaintTracking::Configuration {
MyTaintTrackingConfiguration() { this = "..." }
@@ -247,7 +247,7 @@ This query shows a data flow configuration that uses all network input as data s
.. code-block:: ql
import csharp
import python
import semmle.code.csharp.dataflow.flowsources.PublicCallableParameter
class MyDataFlowConfiguration extends DataFlow::Configuration {

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@@ -19,7 +19,7 @@ Experiment and learn how to write effective and efficient queries for CodeQL dat
- :doc:`CodeQL library for Python <codeql-library-for-python>`: When you need to analyze a Python program, you can make use of the large collection of classes in the CodeQL library for Python.
- :doc:`Analyzing data flow in Python <analyzing-data-flow-in-python>`: You can use CodeQL to track the flow of data through a Python program. Tracking user-controlled, or tainted, data is a key technique for security researchers.
- :doc:`Analyzing data flow in Python <analyzing-data-flow-in-python>`: You can use CodeQL to track the flow of data through a Python program to places where the data is used.
- :doc:`Functions in Python <functions-in-python>`: You can use syntactic classes from the standard CodeQL library to find Python functions and identify calls to them.